28 Nov 2023
Extracted data set providing all necessary information
Heart Disease data set -> UCI Machine Learning Repository
Snapshot of heart disease prevalence in specific individuals
This database has 76 attributes -> focusing on a subset of 14 attributes
We identified several key predictors of heart disease, including the type of chest pain (cp), major vessels colored by fluoroscopy (ca), and ST depression (oldpeak).
In clinical practice, the diagnosis of heart disease often involves individual differences and a multitude of complex factors. The correlated factors can provide important reference points for clinicians in the diagnostic process, helping them to identify potential risk factors for heart disease at an earlier stage, thereby improving patients’ survival chances and overall health.
In summary, our study highlights the potential value of data analysis in enhancing the diagnosis and treatment of heart disease.
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